Biostatistics Training in the Omics Era

描述（由申请人提供）：本提案中的培训计划旨在为生物统计学家提供必要的技能，以便在当今多学科，团队导向的生物医学研究环境中快速有效地发挥作用，适用于学术界，政府和工业的职业道路。该培训计划利用北卡罗莱纳州立大学现有的跨学科研究和培训优势，由以下主要部分组成：为生物统计学和基因组学的工作需求量身定制的课程。课程将在统计理论和实践方面提供严格的培训，但也将包括基础遗传学、基因组科学和生物信息学课程，以及根据每个学生的兴趣量身定制的选修课程。2. 一套旨在促进跨学科培训和合作的活动：A .一组生物实验室将在轮换的基础上主持学员和培训教师，安排实验室会议，介绍这些实验室的研究。b.学员在第二年和第三年将有一个扩展的实验室“基因组学沉浸”。实验室会议将有助于找到实验室和学生之间的良好匹配。c.要求参与跨学科期刊俱乐部系列。

DESCRIPTION (provided by applicant): The training plan in this proposal is designed to provide biostatisticians with the necessary skills to function quickly and effectively in today's multidisciplinary, team-oriented biomedical research environment, applicable to career paths in academia, government, and industry. The training plan takes advantage of existing strengths in interdisciplinary research and training at North Carolina State University (NCSU), and consists of the following major components: 1. A curriculum tailored to the demands of working at the interface of biostatistics and genomics. The coursework will provide rigorous training in statistical theory and practice, but will also include courses in basic genetics, genomic science, and bioinformatics, as well as elective courses tailored to each student's interests. 2. A suite of activities designed to foster interdisciplinary training and collaboration: a. A group of biological labs will, on a rotating basis, host the trainees and training faculty in a scheduled lab meeting tailored to introduce the research in those labs. b. Trainees will have an extended laboratory "genomics immersion" during their second and third years. The lab meetings will facilitate finding good matches between labs and students. c. Required involvement in an interdisciplinary journal club series. d. Immediate assignment to new students of a mentorship team including both biological and statistical faculty. 3. Degree paths leading to the PhD in either Statistics or Bioinformatics, depending on the strengths and interests of the student. Students in both options will share a core set of courses designed to provide essential training in statistics, genomic science, and bioinformatics, and to enhance the sense of student community.